Unified Payment Services Limited is Nigeria’s premier Payments & Financial Technology company that operates as a shared infrastructure for the banking community in Nigeria and Payments Service Provider within and outside Nigeria, with a vision to be the most preferred e-payment service provider in Africa.
We are recruiting to fill the position below:
Job Title: Data Analyst
Location: Nigeria
Job Objective(s)
The Data Analyst will be responsible for collecting, processing, and analyzing data to support strategic decision-making across the organization.
This role involves creating meaningful reports, dashboards, and visualizations that provide actionable insights to various departments.
The analyst will work closely with key stakeholders to understand business needs, identify trends, and present data-driven solutions that enhance operational efficiency, customer engagement, and business performance within a fast-paced fintech environment.
Duties and Responsibilities
Collect, clean, and analyze large datasets to identify trends, patterns, and actionable insights.
Build, automate, and maintain dashboards and reports for business units to track KPIs and business performance.
Translate complex data findings into clear and concise narratives for non-technical stakeholders.
Work collaboratively with departments such as Product, Marketing, Risk, and Finance to understand data needs and deliver customized insights.
Conduct deep-dive analyses to support product development, customer behavior understanding, and operational improvements.
Assist in the design and implementation of data models to support forecasting, segmentation, and predictive analytics.
Ensure data accuracy and consistency across systems and support data governance efforts.
Monitor data quality and help resolve discrepancies in data reporting.
Stay current with industry trends, tools, and best practices in analytics, especially within fintech.
Support A/B testing, market segmentation, and campaign performance analysis.
Requirements
Education:
Bachelor’s Degree in Statistics, Mathematics, Computer Science, Economics, Data Science, or a related field.
A Master’s Degree in Business Analytics, Data Science, or a related discipline is an advantage.
Experience:
Minimum of 4 years experience in data analysis, business intelligence, or related roles, preferably in a fintech or technology-driven environment.
General Experience:
Understanding of fintech business models and digital financial products is an added advantage.
Technical Skills:
Proficiency in SQL for data querying and extraction.
Experience with data visualization tools (e.g., Power BI, Tableau, Looker).
Strong skills in Excel, and at least one programming language such as Python or R.
Understanding of relational databases, data structures, and ETL processes.
Knowledge of statistical analysis and data mining techniques.
Familiarity with A/B testing, cohort analysis, and time-series forecasting.
Certifications:
Certifications such as Microsoft Certified: Data Analyst Associate, Google Data Analytics Professional Certificate, or equivalent are beneficial.
Soft Skills:
Strong analytical and problem-solving skills.
Excellent communication skills with the ability to explain data insights to non-technical stakeholders.
Attention to detail and commitment to data accuracy.
Ability to manage multiple tasks and deliver within tight deadlines.
Collaborative mindset and ability to work in cross-functional teams.
Application Closing Date
Not Specified.
How to Apply
Interested and qualified candidates should send their CV to: opeoluwa.oluyemi@up-ng.com using the Job Title as the subject of the email.
